Overview

Dataset statistics

Number of variables37
Number of observations3630
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory296.0 B

Variable types

Numeric28
Categorical9

Alerts

Admission grade is highly overall correlated with Previous qualification (grade)High correlation
Age at enrollment is highly overall correlated with Application modeHigh correlation
Application mode is highly overall correlated with Age at enrollmentHigh correlation
Course is highly overall correlated with Daytime/evening attendance High correlation
Curricular units 1st sem (approved) is highly overall correlated with Curricular units 1st sem (enrolled) and 5 other fieldsHigh correlation
Curricular units 1st sem (credited) is highly overall correlated with Curricular units 2nd sem (credited)High correlation
Curricular units 1st sem (enrolled) is highly overall correlated with Curricular units 1st sem (approved) and 2 other fieldsHigh correlation
Curricular units 1st sem (evaluations) is highly overall correlated with Curricular units 2nd sem (evaluations)High correlation
Curricular units 1st sem (grade) is highly overall correlated with Curricular units 1st sem (approved) and 3 other fieldsHigh correlation
Curricular units 2nd sem (approved) is highly overall correlated with Curricular units 1st sem (approved) and 5 other fieldsHigh correlation
Curricular units 2nd sem (credited) is highly overall correlated with Curricular units 1st sem (credited)High correlation
Curricular units 2nd sem (enrolled) is highly overall correlated with Curricular units 1st sem (approved) and 2 other fieldsHigh correlation
Curricular units 2nd sem (evaluations) is highly overall correlated with Curricular units 1st sem (evaluations)High correlation
Curricular units 2nd sem (grade) is highly overall correlated with Curricular units 1st sem (approved) and 3 other fieldsHigh correlation
Daytime/evening attendance is highly overall correlated with CourseHigh correlation
International is highly overall correlated with NacionalityHigh correlation
Nacionality is highly overall correlated with InternationalHigh correlation
Previous qualification (grade) is highly overall correlated with Admission gradeHigh correlation
Target is highly overall correlated with Curricular units 1st sem (approved) and 3 other fieldsHigh correlation
Educational special needs is highly imbalanced (91.3%)Imbalance
International is highly imbalanced (83.8%)Imbalance
Mother's occupation has 143 (3.9%) zerosZeros
Father's occupation has 125 (3.4%) zerosZeros
Curricular units 1st sem (credited) has 3150 (86.8%) zerosZeros
Curricular units 1st sem (enrolled) has 152 (4.2%) zerosZeros
Curricular units 1st sem (evaluations) has 321 (8.8%) zerosZeros
Curricular units 1st sem (approved) has 647 (17.8%) zerosZeros
Curricular units 1st sem (grade) has 647 (17.8%) zerosZeros
Curricular units 1st sem (without evaluations) has 3406 (93.8%) zerosZeros
Curricular units 2nd sem (credited) has 3183 (87.7%) zerosZeros
Curricular units 2nd sem (enrolled) has 152 (4.2%) zerosZeros
Curricular units 2nd sem (evaluations) has 372 (10.2%) zerosZeros
Curricular units 2nd sem (approved) has 802 (22.1%) zerosZeros
Curricular units 2nd sem (grade) has 802 (22.1%) zerosZeros
Curricular units 2nd sem (without evaluations) has 3416 (94.1%) zerosZeros

Reproduction

Analysis started2026-01-08 13:42:00.535824
Analysis finished2026-01-08 13:46:28.789822
Duration4 minutes and 28.25 seconds
Software versionydata-profiling vv4.18.0
Download configurationconfig.json

Variables

Marital status
Real number (ℝ)

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1842975
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:29.799170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.61300882
Coefficient of variation (CV)0.51761387
Kurtosis20.916507
Mean1.1842975
Median Absolute Deviation (MAD)0
Skewness4.3378617
Sum4299
Variance0.37577982
MonotonicityNot monotonic
2026-01-08T18:46:30.385792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13199
88.1%
2327
 
9.0%
475
 
2.1%
522
 
0.6%
65
 
0.1%
32
 
0.1%
ValueCountFrequency (%)
13199
88.1%
2327
 
9.0%
32
 
0.1%
475
 
2.1%
522
 
0.6%
65
 
0.1%
ValueCountFrequency (%)
65
 
0.1%
522
 
0.6%
475
 
2.1%
32
 
0.1%
2327
 
9.0%
13199
88.1%

Application mode
Real number (ℝ)

High correlation 

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.421763
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:30.637628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median17
Q339
95-th percentile44
Maximum57
Range56
Interquartile range (IQR)38

Descriptive statistics

Standard deviation17.358595
Coefficient of variation (CV)0.9422874
Kurtosis-1.4355858
Mean18.421763
Median Absolute Deviation (MAD)16
Skewness0.41095521
Sum66871
Variance301.32083
MonotonicityNot monotonic
2026-01-08T18:46:30.935437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11408
38.8%
17713
19.6%
39664
18.3%
43237
 
6.5%
44157
 
4.3%
7132
 
3.6%
18108
 
3.0%
4266
 
1.8%
5146
 
1.3%
1630
 
0.8%
Other values (8)69
 
1.9%
ValueCountFrequency (%)
11408
38.8%
23
 
0.1%
58
 
0.2%
7132
 
3.6%
1010
 
0.3%
1520
 
0.6%
1630
 
0.8%
17713
19.6%
18108
 
3.0%
261
 
< 0.1%
ValueCountFrequency (%)
571
 
< 0.1%
5325
 
0.7%
5146
 
1.3%
44157
 
4.3%
43237
 
6.5%
4266
 
1.8%
39664
18.3%
271
 
< 0.1%
261
 
< 0.1%
18108
 
3.0%

Application order
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7501377
Minimum0
Maximum6
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:31.215256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3338312
Coefficient of variation (CV)0.7621293
Kurtosis2.3033368
Mean1.7501377
Median Absolute Deviation (MAD)0
Skewness1.8179729
Sum6353
Variance1.7791058
MonotonicityNot monotonic
2026-01-08T18:46:31.613003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
12461
67.8%
2451
 
12.4%
3249
 
6.9%
4218
 
6.0%
5129
 
3.6%
6121
 
3.3%
01
 
< 0.1%
ValueCountFrequency (%)
01
 
< 0.1%
12461
67.8%
2451
 
12.4%
3249
 
6.9%
4218
 
6.0%
5129
 
3.6%
6121
 
3.3%
ValueCountFrequency (%)
6121
 
3.3%
5129
 
3.6%
4218
 
6.0%
3249
 
6.9%
2451
 
12.4%
12461
67.8%
01
 
< 0.1%

Course
Real number (ℝ)

High correlation 

Distinct17
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8853.981
Minimum33
Maximum9991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:31.857843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile171
Q19085
median9254
Q39556
95-th percentile9991
Maximum9991
Range9958
Interquartile range (IQR)471

Descriptive statistics

Standard deviation2068.7601
Coefficient of variation (CV)0.2336531
Kurtosis13.081573
Mean8853.981
Median Absolute Deviation (MAD)246
Skewness-3.7916767
Sum32139951
Variance4279768.3
MonotonicityNot monotonic
2026-01-08T18:46:32.085699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
9500666
18.3%
9238313
 
8.6%
9773297
 
8.2%
9147272
 
7.5%
9085262
 
7.2%
9670220
 
6.1%
9991214
 
5.9%
9254211
 
5.8%
8014194
 
5.3%
9070184
 
5.1%
Other values (7)797
22.0%
ValueCountFrequency (%)
339
 
0.2%
171178
4.9%
8014194
5.3%
9003173
4.8%
9070184
5.1%
9085262
7.2%
9119106
 
2.9%
9130120
 
3.3%
9147272
7.5%
9238313
8.6%
ValueCountFrequency (%)
9991214
 
5.9%
9853142
 
3.9%
9773297
8.2%
9670220
 
6.1%
955669
 
1.9%
9500666
18.3%
9254211
 
5.8%
9238313
8.6%
9147272
7.5%
9130120
 
3.3%

Daytime/evening attendance
Categorical

High correlation 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size205.7 KiB
1
3222 
0
408 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3630
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
13222
88.8%
0408
 
11.2%

Length

2026-01-08T18:46:32.342578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-08T18:46:32.521417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
13222
88.8%
0408
 
11.2%

Most occurring characters

ValueCountFrequency (%)
13222
88.8%
0408
 
11.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
13222
88.8%
0408
 
11.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
13222
88.8%
0408
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
13222
88.8%
0408
 
11.2%

Previous qualification
Real number (ℝ)

Distinct17
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5322314
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:32.674317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile39
Maximum43
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.024134
Coefficient of variation (CV)2.2117436
Kurtosis7.0651029
Mean4.5322314
Median Absolute Deviation (MAD)0
Skewness2.9042661
Sum16452
Variance100.48325
MonotonicityNot monotonic
2026-01-08T18:46:32.890181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
13019
83.2%
39164
 
4.5%
19149
 
4.1%
3122
 
3.4%
1239
 
1.1%
4034
 
0.9%
4228
 
0.8%
222
 
0.6%
615
 
0.4%
911
 
0.3%
Other values (7)27
 
0.7%
ValueCountFrequency (%)
13019
83.2%
222
 
0.6%
3122
 
3.4%
47
 
0.2%
51
 
< 0.1%
615
 
0.4%
911
 
0.3%
104
 
0.1%
1239
 
1.1%
141
 
< 0.1%
ValueCountFrequency (%)
436
 
0.2%
4228
 
0.8%
4034
 
0.9%
39164
4.5%
386
 
0.2%
19149
4.1%
152
 
0.1%
141
 
< 0.1%
1239
 
1.1%
104
 
0.1%

Previous qualification (grade)
Real number (ℝ)

High correlation 

Distinct101
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.92061
Minimum95
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:33.156006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile110
Q1125
median133.1
Q3140
95-th percentile158
Maximum190
Range95
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.238373
Coefficient of variation (CV)0.09959609
Kurtosis0.89457229
Mean132.92061
Median Absolute Deviation (MAD)7.1
Skewness0.28762278
Sum482501.8
Variance175.25451
MonotonicityNot monotonic
2026-01-08T18:46:33.465811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
133.1426
 
11.7%
130302
 
8.3%
140271
 
7.5%
120225
 
6.2%
150137
 
3.8%
12592
 
2.5%
11088
 
2.4%
13585
 
2.3%
16079
 
2.2%
13178
 
2.1%
Other values (91)1847
50.9%
ValueCountFrequency (%)
951
 
< 0.1%
961
 
< 0.1%
971
 
< 0.1%
991
 
< 0.1%
10062
1.7%
1013
 
0.1%
1025
 
0.1%
1032
 
0.1%
1053
 
0.1%
1066
 
0.2%
ValueCountFrequency (%)
1901
 
< 0.1%
1881
 
< 0.1%
184.41
 
< 0.1%
1821
 
< 0.1%
1807
0.2%
1782
 
0.1%
1772
 
0.1%
1761
 
< 0.1%
1751
 
< 0.1%
1741
 
< 0.1%

Nacionality
Real number (ℝ)

High correlation 

Distinct19
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8280992
Minimum1
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:33.889534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum109
Range108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.6676141
Coefficient of variation (CV)3.6472934
Kurtosis141.40236
Mean1.8280992
Median Absolute Deviation (MAD)0
Skewness10.907897
Sum6636
Variance44.457077
MonotonicityNot monotonic
2026-01-08T18:46:34.241307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
13544
97.6%
4132
 
0.9%
2212
 
0.3%
269
 
0.2%
68
 
0.2%
245
 
0.1%
113
 
0.1%
1033
 
0.1%
1012
 
0.1%
1002
 
0.1%
Other values (9)10
 
0.3%
ValueCountFrequency (%)
13544
97.6%
22
 
0.1%
68
 
0.2%
113
 
0.1%
131
 
< 0.1%
141
 
< 0.1%
171
 
< 0.1%
211
 
< 0.1%
2212
 
0.3%
245
 
0.1%
ValueCountFrequency (%)
1091
 
< 0.1%
1051
 
< 0.1%
1033
 
0.1%
1012
 
0.1%
1002
 
0.1%
621
 
< 0.1%
4132
0.9%
269
 
0.2%
251
 
< 0.1%
245
 
0.1%

Mother's qualification
Real number (ℝ)

Distinct29
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.986226
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:34.491191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median19
Q337
95-th percentile38
Maximum44
Range43
Interquartile range (IQR)35

Descriptive statistics

Standard deviation15.585278
Coefficient of variation (CV)0.77980094
Kurtosis-1.688498
Mean19.986226
Median Absolute Deviation (MAD)18
Skewness-0.046566378
Sum72550
Variance242.90088
MonotonicityNot monotonic
2026-01-08T18:46:34.746984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1865
23.8%
37840
23.1%
19777
21.4%
38471
13.0%
3337
 
9.3%
34127
 
3.5%
260
 
1.7%
1239
 
1.1%
434
 
0.9%
516
 
0.4%
Other values (19)64
 
1.8%
ValueCountFrequency (%)
1865
23.8%
260
 
1.7%
3337
 
9.3%
434
 
0.9%
516
 
0.4%
64
 
0.1%
98
 
0.2%
103
 
0.1%
113
 
0.1%
1239
 
1.1%
ValueCountFrequency (%)
441
 
< 0.1%
433
 
0.1%
424
 
0.1%
416
 
0.2%
408
 
0.2%
396
 
0.2%
38471
13.0%
37840
23.1%
363
 
0.1%
353
 
0.1%

Father's qualification
Real number (ℝ)

Distinct34
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.571625
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:35.008859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median19
Q337
95-th percentile38
Maximum44
Range43
Interquartile range (IQR)34

Descriptive statistics

Standard deviation15.275453
Coefficient of variation (CV)0.67675466
Kurtosis-1.5545132
Mean22.571625
Median Absolute Deviation (MAD)18
Skewness-0.33404683
Sum81935
Variance233.33945
MonotonicityNot monotonic
2026-01-08T18:46:35.267645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
371010
27.8%
19785
21.6%
1732
20.2%
38575
15.8%
3220
 
6.1%
34109
 
3.0%
243
 
1.2%
1234
 
0.9%
432
 
0.9%
515
 
0.4%
Other values (24)75
 
2.1%
ValueCountFrequency (%)
1732
20.2%
243
 
1.2%
3220
 
6.1%
432
 
0.9%
515
 
0.4%
62
 
0.1%
95
 
0.1%
102
 
0.1%
1110
 
0.3%
1234
 
0.9%
ValueCountFrequency (%)
441
 
< 0.1%
432
 
0.1%
421
 
< 0.1%
411
 
< 0.1%
405
 
0.1%
3913
 
0.4%
38575
15.8%
371010
27.8%
368
 
0.2%
352
 
0.1%

Mother's occupation
Real number (ℝ)

Zeros 

Distinct29
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.138567
Minimum0
Maximum194
Zeros143
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:35.605427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median5
Q39
95-th percentile9
Maximum194
Range194
Interquartile range (IQR)5

Descriptive statistics

Standard deviation23.315697
Coefficient of variation (CV)2.2997033
Kurtosis34.754522
Mean10.138567
Median Absolute Deviation (MAD)3
Skewness5.7142893
Sum36803
Variance543.62174
MonotonicityNot monotonic
2026-01-08T18:46:36.059135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
91313
36.2%
4670
18.5%
5436
 
12.0%
3272
 
7.5%
2240
 
6.6%
7224
 
6.2%
0143
 
3.9%
187
 
2.4%
677
 
2.1%
9070
 
1.9%
Other values (19)98
 
2.7%
ValueCountFrequency (%)
0143
 
3.9%
187
 
2.4%
2240
 
6.6%
3272
 
7.5%
4670
18.5%
5436
 
12.0%
677
 
2.1%
7224
 
6.2%
829
 
0.8%
91313
36.2%
ValueCountFrequency (%)
1944
 
0.1%
1934
 
0.1%
1922
 
0.1%
19115
0.4%
1753
 
0.1%
1711
 
< 0.1%
1532
 
0.1%
1521
 
< 0.1%
1512
 
0.1%
1444
 
0.1%

Father's occupation
Real number (ℝ)

Zeros 

Distinct42
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.28292
Minimum0
Maximum195
Zeros125
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:36.322968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q39
95-th percentile10
Maximum195
Range195
Interquartile range (IQR)5

Descriptive statistics

Standard deviation22.40269
Coefficient of variation (CV)2.1786312
Kurtosis35.026848
Mean10.28292
Median Absolute Deviation (MAD)2
Skewness5.7314429
Sum37327
Variance501.88053
MonotonicityNot monotonic
2026-01-08T18:46:36.608781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
9847
23.3%
7555
15.3%
5409
11.3%
3321
 
8.8%
4312
 
8.6%
8263
 
7.2%
10212
 
5.8%
6194
 
5.3%
2147
 
4.0%
0125
 
3.4%
Other values (32)245
 
6.7%
ValueCountFrequency (%)
0125
 
3.4%
1111
 
3.1%
2147
 
4.0%
3321
 
8.8%
4312
 
8.6%
5409
11.3%
6194
 
5.3%
7555
15.3%
8263
 
7.2%
9847
23.3%
ValueCountFrequency (%)
1951
 
< 0.1%
1942
 
0.1%
1937
0.2%
1924
0.1%
1831
 
< 0.1%
1821
 
< 0.1%
1812
 
0.1%
1752
 
0.1%
1741
 
< 0.1%
1721
 
< 0.1%

Admission grade
Real number (ℝ)

High correlation 

Distinct602
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.29394
Minimum95
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:36.952559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile103.5
Q1118
median126.5
Q3135.1
95-th percentile154.21
Maximum190
Range95
Interquartile range (IQR)17.1

Descriptive statistics

Standard deviation14.611295
Coefficient of variation (CV)0.1147839
Kurtosis0.56734312
Mean127.29394
Median Absolute Deviation (MAD)8.5
Skewness0.50766763
Sum462077
Variance213.48995
MonotonicityNot monotonic
2026-01-08T18:46:37.279352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130125
 
3.4%
120121
 
3.3%
140117
 
3.2%
10093
 
2.6%
15067
 
1.8%
11065
 
1.8%
16038
 
1.0%
128.235
 
1.0%
12825
 
0.7%
12723
 
0.6%
Other values (592)2921
80.5%
ValueCountFrequency (%)
9510
0.3%
95.11
 
< 0.1%
95.52
 
0.1%
95.81
 
< 0.1%
965
0.1%
96.11
 
< 0.1%
96.71
 
< 0.1%
975
0.1%
97.21
 
< 0.1%
97.41
 
< 0.1%
ValueCountFrequency (%)
1902
0.1%
184.41
< 0.1%
1841
< 0.1%
183.51
< 0.1%
180.41
< 0.1%
1802
0.1%
179.61
< 0.1%
178.31
< 0.1%
1781
< 0.1%
176.71
< 0.1%

Displaced
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size205.7 KiB
1
1993 
0
1637 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3630
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
11993
54.9%
01637
45.1%

Length

2026-01-08T18:46:37.574159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-08T18:46:37.734101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11993
54.9%
01637
45.1%

Most occurring characters

ValueCountFrequency (%)
11993
54.9%
01637
45.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
11993
54.9%
01637
45.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
11993
54.9%
01637
45.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
11993
54.9%
01637
45.1%

Educational special needs
Categorical

Imbalance 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size205.7 KiB
0
3590 
1
 
40

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3630
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
03590
98.9%
140
 
1.1%

Length

2026-01-08T18:46:37.941924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-08T18:46:38.275705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
03590
98.9%
140
 
1.1%

Most occurring characters

ValueCountFrequency (%)
03590
98.9%
140
 
1.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
03590
98.9%
140
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
03590
98.9%
140
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
03590
98.9%
140
 
1.1%

Debtor
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size205.7 KiB
0
3217 
1
413 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3630
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
03217
88.6%
1413
 
11.4%

Length

2026-01-08T18:46:38.463585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-08T18:46:38.616490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
03217
88.6%
1413
 
11.4%

Most occurring characters

ValueCountFrequency (%)
03217
88.6%
1413
 
11.4%

Most occurring categories

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
03217
88.6%
1413
 
11.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
03217
88.6%
1413
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
03217
88.6%
1413
 
11.4%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size205.7 KiB
1
3144 
0
486 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3630
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
13144
86.6%
0486
 
13.4%

Length

2026-01-08T18:46:38.814358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-08T18:46:38.971261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
13144
86.6%
0486
 
13.4%

Most occurring characters

ValueCountFrequency (%)
13144
86.6%
0486
 
13.4%

Most occurring categories

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
13144
86.6%
0486
 
13.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
13144
86.6%
0486
 
13.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
13144
86.6%
0486
 
13.4%

Gender
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size205.7 KiB
0
2381 
1
1249 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3630
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
02381
65.6%
11249
34.4%

Length

2026-01-08T18:46:39.164179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-08T18:46:39.316036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
02381
65.6%
11249
34.4%

Most occurring characters

ValueCountFrequency (%)
02381
65.6%
11249
34.4%

Most occurring categories

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
02381
65.6%
11249
34.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
02381
65.6%
11249
34.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
02381
65.6%
11249
34.4%

Scholarship holder
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size205.7 KiB
0
2661 
1
969 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3630
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
02661
73.3%
1969
 
26.7%

Length

2026-01-08T18:46:39.821713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-08T18:46:39.974611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
02661
73.3%
1969
 
26.7%

Most occurring characters

ValueCountFrequency (%)
02661
73.3%
1969
 
26.7%

Most occurring categories

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
02661
73.3%
1969
 
26.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
02661
73.3%
1969
 
26.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
02661
73.3%
1969
 
26.7%

Age at enrollment
Real number (ℝ)

High correlation 

Distinct46
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.461157
Minimum17
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:40.182480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile18
Q119
median20
Q325
95-th percentile41
Maximum70
Range53
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.8279942
Coefficient of variation (CV)0.33365764
Kurtosis3.8030507
Mean23.461157
Median Absolute Deviation (MAD)2
Skewness1.9907248
Sum85164
Variance61.277493
MonotonicityNot monotonic
2026-01-08T18:46:40.467342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
18864
23.8%
19754
20.8%
20459
12.6%
21252
 
6.9%
22137
 
3.8%
24101
 
2.8%
2384
 
2.3%
2779
 
2.2%
2675
 
2.1%
2572
 
2.0%
Other values (36)753
20.7%
ValueCountFrequency (%)
173
 
0.1%
18864
23.8%
19754
20.8%
20459
12.6%
21252
 
6.9%
22137
 
3.8%
2384
 
2.3%
24101
 
2.8%
2572
 
2.0%
2675
 
2.1%
ValueCountFrequency (%)
701
 
< 0.1%
621
 
< 0.1%
611
 
< 0.1%
602
 
0.1%
593
0.1%
583
0.1%
572
 
0.1%
555
0.1%
546
0.2%
536
0.2%

International
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size205.7 KiB
0
3544 
1
 
86

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3630
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
03544
97.6%
186
 
2.4%

Length

2026-01-08T18:46:40.739119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-08T18:46:40.886024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
03544
97.6%
186
 
2.4%

Most occurring characters

ValueCountFrequency (%)
03544
97.6%
186
 
2.4%

Most occurring categories

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
03544
97.6%
186
 
2.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
03544
97.6%
186
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
03544
97.6%
186
 
2.4%

Curricular units 1st sem (credited)
Real number (ℝ)

High correlation  Zeros 

Distinct21
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.75426997
Minimum0
Maximum20
Zeros3150
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:41.041924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4772767
Coefficient of variation (CV)3.2843368
Kurtosis17.992909
Mean0.75426997
Median Absolute Deviation (MAD)0
Skewness4.0645523
Sum2738
Variance6.1368996
MonotonicityNot monotonic
2026-01-08T18:46:41.282768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
03150
86.8%
271
 
2.0%
167
 
1.8%
357
 
1.6%
643
 
1.2%
443
 
1.2%
531
 
0.9%
731
 
0.9%
827
 
0.7%
924
 
0.7%
Other values (11)86
 
2.4%
ValueCountFrequency (%)
03150
86.8%
167
 
1.8%
271
 
2.0%
357
 
1.6%
443
 
1.2%
531
 
0.9%
643
 
1.2%
731
 
0.9%
827
 
0.7%
924
 
0.7%
ValueCountFrequency (%)
202
 
0.1%
192
 
0.1%
184
 
0.1%
173
 
0.1%
163
 
0.1%
155
 
0.1%
1414
0.4%
1312
0.3%
1211
0.3%
1116
0.4%

Curricular units 1st sem (enrolled)
Real number (ℝ)

High correlation  Zeros 

Distinct23
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3374656
Minimum0
Maximum26
Zeros152
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:41.531636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q15
median6
Q37
95-th percentile11
Maximum26
Range26
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5707731
Coefficient of variation (CV)0.40564687
Kurtosis8.6261495
Mean6.3374656
Median Absolute Deviation (MAD)1
Skewness1.651648
Sum23005
Variance6.6088743
MonotonicityNot monotonic
2026-01-08T18:46:41.767458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
61594
43.9%
5749
20.6%
7546
 
15.0%
8264
 
7.3%
0152
 
4.2%
1254
 
1.5%
1043
 
1.2%
1137
 
1.0%
931
 
0.9%
1524
 
0.7%
Other values (13)136
 
3.7%
ValueCountFrequency (%)
0152
 
4.2%
16
 
0.2%
27
 
0.2%
39
 
0.2%
421
 
0.6%
5749
20.6%
61594
43.9%
7546
 
15.0%
8264
 
7.3%
931
 
0.9%
ValueCountFrequency (%)
261
 
< 0.1%
232
 
0.1%
216
 
0.2%
192
 
0.1%
1819
0.5%
1713
0.4%
1612
0.3%
1524
0.7%
1422
0.6%
1316
0.4%

Curricular units 1st sem (evaluations)
Real number (ℝ)

High correlation  Zeros 

Distinct35
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0710744
Minimum0
Maximum45
Zeros321
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:42.017298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median8
Q310
95-th percentile15
Maximum45
Range45
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.2866324
Coefficient of variation (CV)0.5311105
Kurtosis6.0607303
Mean8.0710744
Median Absolute Deviation (MAD)2
Skewness1.1460857
Sum29298
Variance18.375217
MonotonicityNot monotonic
2026-01-08T18:46:42.293119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
8674
18.6%
7621
17.1%
6530
14.6%
0321
8.8%
9296
8.2%
10235
 
6.5%
5193
 
5.3%
11162
 
4.5%
12160
 
4.4%
13104
 
2.9%
Other values (25)334
9.2%
ValueCountFrequency (%)
0321
8.8%
15
 
0.1%
26
 
0.2%
36
 
0.2%
418
 
0.5%
5193
 
5.3%
6530
14.6%
7621
17.1%
8674
18.6%
9296
8.2%
ValueCountFrequency (%)
452
0.1%
361
 
< 0.1%
331
 
< 0.1%
321
 
< 0.1%
311
 
< 0.1%
292
0.1%
281
 
< 0.1%
272
0.1%
264
0.1%
253
0.1%

Curricular units 1st sem (approved)
Real number (ℝ)

High correlation  Zeros 

Distinct23
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7914601
Minimum0
Maximum26
Zeros647
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:42.539960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q36
95-th percentile10
Maximum26
Range26
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.2378452
Coefficient of variation (CV)0.67575335
Kurtosis2.8666924
Mean4.7914601
Median Absolute Deviation (MAD)1
Skewness0.75417833
Sum17393
Variance10.483642
MonotonicityNot monotonic
2026-01-08T18:46:42.770809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
61033
28.5%
0647
17.8%
5530
14.6%
7429
11.8%
4288
 
7.9%
3176
 
4.8%
2118
 
3.3%
194
 
2.6%
894
 
2.6%
1142
 
1.2%
Other values (13)179
 
4.9%
ValueCountFrequency (%)
0647
17.8%
194
 
2.6%
2118
 
3.3%
3176
 
4.8%
4288
 
7.9%
5530
14.6%
61033
28.5%
7429
11.8%
894
 
2.6%
935
 
1.0%
ValueCountFrequency (%)
261
 
< 0.1%
214
 
0.1%
203
 
0.1%
192
 
0.1%
1815
0.4%
1710
0.3%
165
 
0.1%
156
 
0.2%
1414
0.4%
1323
0.6%

Curricular units 1st sem (grade)
Real number (ℝ)

High correlation  Zeros 

Distinct752
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.53486
Minimum0
Maximum18.875
Zeros647
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:43.065619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median12.341429
Q313.5
95-th percentile15
Maximum18.875
Range18.875
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation5.057694
Coefficient of variation (CV)0.48009125
Kurtosis0.48687085
Mean10.53486
Median Absolute Deviation (MAD)1.1985714
Skewness-1.4518527
Sum38241.54
Variance25.580268
MonotonicityNot monotonic
2026-01-08T18:46:43.779157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0647
 
17.8%
12153
 
4.2%
13123
 
3.4%
1195
 
2.6%
1470
 
1.9%
12.3333333368
 
1.9%
12.6666666767
 
1.8%
12.566
 
1.8%
11.564
 
1.8%
1060
 
1.7%
Other values (742)2217
61.1%
ValueCountFrequency (%)
0647
17.8%
9.81
 
< 0.1%
1060
 
1.7%
10.166666671
 
< 0.1%
10.23
 
0.1%
10.214285711
 
< 0.1%
10.257
 
0.2%
10.285714291
 
< 0.1%
10.333333337
 
0.2%
10.368421051
 
< 0.1%
ValueCountFrequency (%)
18.8751
 
< 0.1%
182
0.1%
17.333333332
0.1%
17.1251
 
< 0.1%
17.111111111
 
< 0.1%
17.005555561
 
< 0.1%
173
0.1%
16.91
 
< 0.1%
16.885714291
 
< 0.1%
16.857142861
 
< 0.1%
Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12892562
Minimum0
Maximum12
Zeros3406
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:44.033994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.67911058
Coefficient of variation (CV)5.2674603
Kurtosis101.68705
Mean0.12892562
Median Absolute Deviation (MAD)0
Skewness8.7192756
Sum468
Variance0.46119118
MonotonicityNot monotonic
2026-01-08T18:46:44.257853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
03406
93.8%
1118
 
3.3%
258
 
1.6%
316
 
0.4%
414
 
0.4%
65
 
0.1%
75
 
0.1%
53
 
0.1%
122
 
0.1%
82
 
0.1%
ValueCountFrequency (%)
03406
93.8%
1118
 
3.3%
258
 
1.6%
316
 
0.4%
414
 
0.4%
53
 
0.1%
65
 
0.1%
75
 
0.1%
82
 
0.1%
101
 
< 0.1%
ValueCountFrequency (%)
122
 
0.1%
101
 
< 0.1%
82
 
0.1%
75
 
0.1%
65
 
0.1%
53
 
0.1%
414
 
0.4%
316
 
0.4%
258
1.6%
1118
3.3%

Curricular units 2nd sem (credited)
Real number (ℝ)

High correlation  Zeros 

Distinct19
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58181818
Minimum0
Maximum19
Zeros3183
Zeros (%)87.7%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:44.480753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0226875
Coefficient of variation (CV)3.4764942
Kurtosis22.650674
Mean0.58181818
Median Absolute Deviation (MAD)0
Skewness4.4943294
Sum2112
Variance4.0912648
MonotonicityNot monotonic
2026-01-08T18:46:44.722551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
03183
87.7%
182
 
2.3%
280
 
2.2%
561
 
1.7%
461
 
1.7%
340
 
1.1%
624
 
0.7%
1120
 
0.6%
913
 
0.4%
1213
 
0.4%
Other values (9)53
 
1.5%
ValueCountFrequency (%)
03183
87.7%
182
 
2.3%
280
 
2.2%
340
 
1.1%
461
 
1.7%
561
 
1.7%
624
 
0.7%
712
 
0.3%
810
 
0.3%
913
 
0.4%
ValueCountFrequency (%)
191
 
< 0.1%
182
 
0.1%
162
 
0.1%
152
 
0.1%
144
 
0.1%
139
0.2%
1213
0.4%
1120
0.6%
1011
0.3%
913
0.4%

Curricular units 2nd sem (enrolled)
Real number (ℝ)

High correlation  Zeros 

Distinct22
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2964187
Minimum0
Maximum23
Zeros152
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:44.965394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q15
median6
Q37
95-th percentile10
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2630202
Coefficient of variation (CV)0.35941386
Kurtosis6.9111216
Mean6.2964187
Median Absolute Deviation (MAD)1
Skewness0.81161984
Sum22856
Variance5.1212602
MonotonicityNot monotonic
2026-01-08T18:46:45.197294image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
61596
44.0%
5789
21.7%
8596
 
16.4%
7224
 
6.2%
0152
 
4.2%
1150
 
1.4%
944
 
1.2%
1239
 
1.1%
1038
 
1.0%
1334
 
0.9%
Other values (12)68
 
1.9%
ValueCountFrequency (%)
0152
 
4.2%
13
 
0.1%
25
 
0.1%
32
 
0.1%
415
 
0.4%
5789
21.7%
61596
44.0%
7224
 
6.2%
8596
 
16.4%
944
 
1.2%
ValueCountFrequency (%)
232
 
0.1%
211
 
< 0.1%
193
 
0.1%
182
 
0.1%
1710
 
0.3%
161
 
< 0.1%
152
 
0.1%
1422
0.6%
1334
0.9%
1239
1.1%

Curricular units 2nd sem (evaluations)
Real number (ℝ)

High correlation  Zeros 

Distinct29
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7630854
Minimum0
Maximum33
Zeros372
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:45.434092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median8
Q310
95-th percentile14
Maximum33
Range33
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.9641634
Coefficient of variation (CV)0.51064277
Kurtosis2.1216527
Mean7.7630854
Median Absolute Deviation (MAD)2
Skewness0.37806917
Sum28180
Variance15.714592
MonotonicityNot monotonic
2026-01-08T18:46:45.685930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
8654
18.0%
6556
15.3%
7478
13.2%
0372
10.2%
9353
9.7%
5268
7.4%
10257
 
7.1%
11181
 
5.0%
12150
 
4.1%
1398
 
2.7%
Other values (19)263
7.2%
ValueCountFrequency (%)
0372
10.2%
13
 
0.1%
24
 
0.1%
31
 
< 0.1%
48
 
0.2%
5268
7.4%
6556
15.3%
7478
13.2%
8654
18.0%
9353
9.7%
ValueCountFrequency (%)
331
 
< 0.1%
271
 
< 0.1%
263
 
0.1%
251
 
< 0.1%
243
 
0.1%
234
 
0.1%
228
0.2%
218
0.2%
208
0.2%
1911
0.3%

Curricular units 2nd sem (approved)
Real number (ℝ)

High correlation  Zeros 

Distinct20
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5184573
Minimum0
Maximum20
Zeros802
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:45.924776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q36
95-th percentile8
Maximum20
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.1623763
Coefficient of variation (CV)0.69987964
Kurtosis0.66566854
Mean4.5184573
Median Absolute Deviation (MAD)2
Skewness0.26819875
Sum16402
Variance10.000624
MonotonicityNot monotonic
2026-01-08T18:46:46.150679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
6867
23.9%
0802
22.1%
5569
15.7%
8306
 
8.4%
7287
 
7.9%
4254
 
7.0%
3161
 
4.4%
2121
 
3.3%
186
 
2.4%
1144
 
1.2%
Other values (10)133
 
3.7%
ValueCountFrequency (%)
0802
22.1%
186
 
2.4%
2121
 
3.3%
3161
 
4.4%
4254
 
7.0%
5569
15.7%
6867
23.9%
7287
 
7.9%
8306
 
8.4%
925
 
0.7%
ValueCountFrequency (%)
202
 
0.1%
193
 
0.1%
182
 
0.1%
178
 
0.2%
162
 
0.1%
146
 
0.2%
1321
0.6%
1232
0.9%
1144
1.2%
1032
0.9%

Curricular units 2nd sem (grade)
Real number (ℝ)

High correlation  Zeros 

Distinct724
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.036155
Minimum0
Maximum18.571429
Zeros802
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:46.431497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.517857
median12.333333
Q313.5
95-th percentile15.006111
Maximum18.571429
Range18.571429
Interquartile range (IQR)2.9821429

Descriptive statistics

Standard deviation5.4817421
Coefficient of variation (CV)0.54619942
Kurtosis-0.36292579
Mean10.036155
Median Absolute Deviation (MAD)1.3333333
Skewness-1.167812
Sum36431.243
Variance30.049496
MonotonicityNot monotonic
2026-01-08T18:46:46.742249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0802
 
22.1%
12122
 
3.4%
13117
 
3.2%
11111
 
3.1%
1463
 
1.7%
11.562
 
1.7%
12.555
 
1.5%
1051
 
1.4%
13.550
 
1.4%
12.6666666749
 
1.3%
Other values (714)2148
59.2%
ValueCountFrequency (%)
0802
22.1%
1051
 
1.4%
10.166666673
 
0.1%
10.22
 
0.1%
10.255
 
0.1%
10.3333333310
 
0.3%
10.44
 
0.1%
10.428571431
 
< 0.1%
10.444444441
 
< 0.1%
10.529
 
0.8%
ValueCountFrequency (%)
18.571428571
< 0.1%
17.714285711
< 0.1%
17.692307691
< 0.1%
17.61
< 0.1%
17.58751
< 0.1%
17.428571431
< 0.1%
17.166666671
< 0.1%
171
< 0.1%
16.909090911
< 0.1%
16.82
0.1%
Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14214876
Minimum0
Maximum12
Zeros3416
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:46.977098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.74767044
Coefficient of variation (CV)5.2597746
Kurtosis73.264171
Mean0.14214876
Median Absolute Deviation (MAD)0
Skewness7.6154483
Sum516
Variance0.55901109
MonotonicityNot monotonic
2026-01-08T18:46:47.189007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
03416
94.1%
1107
 
2.9%
235
 
1.0%
323
 
0.6%
516
 
0.4%
416
 
0.4%
67
 
0.2%
74
 
0.1%
84
 
0.1%
122
 
0.1%
ValueCountFrequency (%)
03416
94.1%
1107
 
2.9%
235
 
1.0%
323
 
0.6%
416
 
0.4%
516
 
0.4%
67
 
0.2%
74
 
0.1%
84
 
0.1%
122
 
0.1%
ValueCountFrequency (%)
122
 
0.1%
84
 
0.1%
74
 
0.1%
67
 
0.2%
516
 
0.4%
416
 
0.4%
323
 
0.6%
235
 
1.0%
1107
 
2.9%
03416
94.1%

Unemployment rate
Real number (ℝ)

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.630358
Minimum7.6
Maximum16.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2026-01-08T18:46:47.393833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7.6
5-th percentile7.6
Q19.4
median11.1
Q313.9
95-th percentile16.2
Maximum16.2
Range8.6
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation2.6676519
Coefficient of variation (CV)0.22936971
Kurtosis-1.0036666
Mean11.630358
Median Absolute Deviation (MAD)1.7
Skewness0.18950161
Sum42218.2
Variance7.1163666
MonotonicityNot monotonic
2026-01-08T18:46:47.909496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7.6452
12.5%
10.8435
12.0%
9.4424
11.7%
12.7356
9.8%
12.4355
9.8%
11.1347
9.6%
15.5328
9.0%
13.9326
9.0%
16.2316
8.7%
8.9291
8.0%
ValueCountFrequency (%)
7.6452
12.5%
8.9291
8.0%
9.4424
11.7%
10.8435
12.0%
11.1347
9.6%
12.4355
9.8%
12.7356
9.8%
13.9326
9.0%
15.5328
9.0%
16.2316
8.7%
ValueCountFrequency (%)
16.2316
8.7%
15.5328
9.0%
13.9326
9.0%
12.7356
9.8%
12.4355
9.8%
11.1347
9.6%
10.8435
12.0%
9.4424
11.7%
8.9291
8.0%
7.6452
12.5%

Inflation rate
Real number (ℝ)

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2315978
Minimum-0.8
Maximum3.7
Zeros0
Zeros (%)0.0%
Negative750
Negative (%)20.7%
Memory size28.5 KiB
2026-01-08T18:46:48.102419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.8
5-th percentile-0.8
Q10.3
median1.4
Q32.6
95-th percentile3.7
Maximum3.7
Range4.5
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation1.3849112
Coefficient of variation (CV)1.1244833
Kurtosis-1.0367759
Mean1.2315978
Median Absolute Deviation (MAD)1.2
Skewness0.26705457
Sum4470.7
Variance1.917979
MonotonicityNot monotonic
2026-01-08T18:46:48.282257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.4726
20.0%
2.6452
12.5%
-0.8424
11.7%
3.7356
9.8%
0.5355
9.8%
0.6347
9.6%
2.8328
9.0%
-0.3326
9.0%
0.3316
8.7%
ValueCountFrequency (%)
-0.8424
11.7%
-0.3326
9.0%
0.3316
8.7%
0.5355
9.8%
0.6347
9.6%
1.4726
20.0%
2.6452
12.5%
2.8328
9.0%
3.7356
9.8%
ValueCountFrequency (%)
3.7356
9.8%
2.8328
9.0%
2.6452
12.5%
1.4726
20.0%
0.6347
9.6%
0.5355
9.8%
0.3316
8.7%
-0.3326
9.0%
-0.8424
11.7%

GDP
Real number (ℝ)

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0092561983
Minimum-4.06
Maximum3.51
Zeros0
Zeros (%)0.0%
Negative1424
Negative (%)39.2%
Memory size28.5 KiB
2026-01-08T18:46:48.461140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4.06
5-th percentile-4.06
Q1-1.7
median0.32
Q31.79
95-th percentile3.51
Maximum3.51
Range7.57
Interquartile range (IQR)3.49

Descriptive statistics

Standard deviation2.2599859
Coefficient of variation (CV)-244.15919
Kurtosis-0.9964832
Mean-0.0092561983
Median Absolute Deviation (MAD)1.47
Skewness-0.39080458
Sum-33.6
Variance5.1075361
MonotonicityNot monotonic
2026-01-08T18:46:48.658015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.32452
12.5%
1.74435
12.0%
-3.12424
11.7%
-1.7356
9.8%
1.79355
9.8%
2.02347
9.6%
-4.06328
9.0%
0.79326
9.0%
-0.92316
8.7%
3.51291
8.0%
ValueCountFrequency (%)
-4.06328
9.0%
-3.12424
11.7%
-1.7356
9.8%
-0.92316
8.7%
0.32452
12.5%
0.79326
9.0%
1.74435
12.0%
1.79355
9.8%
2.02347
9.6%
3.51291
8.0%
ValueCountFrequency (%)
3.51291
8.0%
2.02347
9.6%
1.79355
9.8%
1.74435
12.0%
0.79326
9.0%
0.32452
12.5%
-0.92316
8.7%
-1.7356
9.8%
-3.12424
11.7%
-4.06328
9.0%

Target
Categorical

High correlation 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size205.7 KiB
1
2209 
0
1421 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3630
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
12209
60.9%
01421
39.1%

Length

2026-01-08T18:46:48.905882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-08T18:46:49.060755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
12209
60.9%
01421
39.1%

Most occurring characters

ValueCountFrequency (%)
12209
60.9%
01421
39.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
12209
60.9%
01421
39.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
12209
60.9%
01421
39.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)3630
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
12209
60.9%
01421
39.1%

Interactions

2026-01-08T18:46:17.690978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:42:07.130599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:42:14.441864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:42:21.978004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:42:32.994526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:42:40.291780image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:42:50.364413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:42:59.059969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:43:08.051950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:43:16.685644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:43:24.544580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:43:31.515084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:43:40.729172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:43:48.552102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-08T18:44:18.038098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:44:26.882397image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-08T18:45:11.992350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-08T18:42:33.206342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-08T18:42:50.592271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-08T18:43:40.941011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:43:48.807938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-08T18:44:37.079827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:44:50.949884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-08T18:43:31.961802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-08T18:43:49.070768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-08T18:43:49.306618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-08T18:44:17.696318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:44:26.587590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:44:36.346299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:44:50.137408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:45:02.510433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:45:11.700510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:45:19.609416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:45:27.684207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:45:39.402654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:45:49.287283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:46:02.550733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:46:10.512603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-08T18:46:17.462125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2026-01-08T18:46:49.333582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Admission gradeAge at enrollmentApplication modeApplication orderCourseCurricular units 1st sem (approved)Curricular units 1st sem (credited)Curricular units 1st sem (enrolled)Curricular units 1st sem (evaluations)Curricular units 1st sem (grade)Curricular units 1st sem (without evaluations)Curricular units 2nd sem (approved)Curricular units 2nd sem (credited)Curricular units 2nd sem (enrolled)Curricular units 2nd sem (evaluations)Curricular units 2nd sem (grade)Curricular units 2nd sem (without evaluations)Daytime/evening attendanceDebtorDisplacedEducational special needsFather's occupationFather's qualificationGDPGenderInflation rateInternationalMarital statusMother's occupationMother's qualificationNacionalityPrevious qualificationPrevious qualification (grade)Scholarship holderTargetTuition fees up to dateUnemployment rate
Admission grade1.000-0.112-0.050-0.105-0.0720.1120.0720.001-0.0920.229-0.0000.1110.0730.005-0.0590.209-0.0260.1120.0680.1390.000-0.028-0.029-0.0360.043-0.0210.130-0.002-0.028-0.0440.0180.1160.5820.0950.1570.0880.024
Age at enrollment-0.1121.0000.561-0.374-0.095-0.2040.303-0.0220.161-0.2430.080-0.2220.302-0.0580.061-0.2470.1160.4810.1400.4020.0000.0330.092-0.0630.1950.0220.0000.4880.0890.1710.0150.408-0.1700.2400.3330.2320.011
Application mode-0.0500.5611.000-0.284-0.083-0.0920.3510.0630.191-0.1760.032-0.1150.3510.0380.143-0.1610.0680.3910.1350.4050.000-0.0150.053-0.0240.203-0.0320.0670.2840.0220.070-0.0020.419-0.0620.2370.3180.2150.073
Application order-0.105-0.374-0.2841.0000.1400.104-0.1990.072-0.0800.073-0.0530.111-0.2020.090-0.0320.069-0.0460.1820.0840.3920.000-0.024-0.0540.0360.123-0.0060.014-0.181-0.036-0.048-0.018-0.260-0.0530.0840.1130.081-0.104
Course-0.072-0.095-0.0830.1401.0000.145-0.1640.174-0.0000.116-0.1070.141-0.1690.1780.0390.145-0.0350.6690.0000.1950.0240.0050.028-0.0080.1200.0390.0260.0110.0180.0360.007-0.142-0.0480.0260.0370.000-0.041
Curricular units 1st sem (approved)0.112-0.204-0.0920.1040.1451.0000.3680.7230.3290.651-0.0530.9090.3750.7140.4310.682-0.0590.1850.1670.1530.0000.0040.0070.0380.2640.0010.000-0.0740.001-0.024-0.002-0.0590.0990.2900.6490.3270.062
Curricular units 1st sem (credited)0.0720.3030.351-0.199-0.1640.3681.0000.4330.3880.0970.1200.3010.9250.3840.3430.0960.0820.1740.0300.1180.000-0.033-0.0030.0040.0260.0090.0000.102-0.019-0.0020.0240.318-0.0050.0890.0580.0000.024
Curricular units 1st sem (enrolled)0.001-0.0220.0630.0720.1740.7230.4331.0000.4600.362-0.0100.6720.4490.9600.4780.363-0.0080.2210.0490.1570.032-0.0100.015-0.0090.2180.0360.022-0.0040.0050.021-0.0030.0580.0350.1640.2430.1190.101
Curricular units 1st sem (evaluations)-0.0920.1610.191-0.080-0.0000.3290.3880.4601.0000.1430.2050.3030.3880.4250.6990.1220.1710.0770.0660.1000.000-0.0400.040-0.1110.091-0.0280.0620.061-0.0180.044-0.0080.114-0.0660.1970.3420.1270.075
Curricular units 1st sem (grade)0.229-0.243-0.1760.0730.1160.6510.0970.3620.1431.000-0.0270.6360.0910.3670.2250.790-0.0450.1390.1200.0910.000-0.004-0.0110.0850.210-0.0210.000-0.099-0.024-0.0530.000-0.0620.2020.2090.5420.2770.037
Curricular units 1st sem (without evaluations)-0.0000.0800.032-0.053-0.107-0.0530.120-0.0100.205-0.0271.000-0.0510.082-0.0260.099-0.0580.4240.0000.0210.0330.000-0.030-0.003-0.1720.000-0.0580.0620.049-0.0160.000-0.0100.044-0.0090.0520.0910.093-0.067
Curricular units 2nd sem (approved)0.111-0.222-0.1150.1110.1410.9090.3010.6720.3030.636-0.0511.0000.3280.6920.3780.711-0.0580.1080.2020.1290.0000.0180.0140.0320.275-0.0160.024-0.0810.019-0.018-0.016-0.0670.0890.2890.7360.3640.064
Curricular units 2nd sem (credited)0.0730.3020.351-0.202-0.1690.3750.9250.4490.3880.0910.0820.3281.0000.4200.3560.1060.0980.1720.0290.1350.000-0.0300.0030.0070.0410.0090.0000.099-0.025-0.0000.0220.310-0.0140.0770.0560.0140.014
Curricular units 2nd sem (enrolled)0.005-0.0580.0380.0900.1780.7140.3840.9600.4250.367-0.0260.6920.4201.0000.4910.376-0.0190.1920.0820.1400.000-0.0090.007-0.0050.1650.0220.052-0.0260.0050.006-0.0110.0420.0370.1150.2040.1440.135
Curricular units 2nd sem (evaluations)-0.0590.0610.143-0.0320.0390.4310.3430.4780.6990.2250.0990.3780.3560.4911.0000.2200.1720.1140.0490.0710.000-0.0270.005-0.0160.119-0.0200.0300.013-0.0160.021-0.0270.060-0.0580.1790.3570.1280.076
Curricular units 2nd sem (grade)0.209-0.247-0.1610.0690.1450.6820.0960.3630.1220.790-0.0580.7110.1060.3760.2201.000-0.0590.0940.1600.0830.0000.014-0.0130.1050.222-0.0420.000-0.0970.004-0.045-0.002-0.0630.1720.2270.6400.3270.035
Curricular units 2nd sem (without evaluations)-0.0260.1160.068-0.046-0.035-0.0590.082-0.0080.171-0.0450.424-0.0580.098-0.0190.172-0.0591.0000.0000.0870.0280.000-0.054-0.005-0.1130.043-0.0290.0000.0590.0030.031-0.0240.061-0.0240.0320.1010.090-0.030
Daytime/evening attendance\t0.1120.4810.3910.1820.6690.1850.1740.2210.0770.1390.0000.1080.1720.1920.1140.0940.0001.0000.0000.2420.0190.0530.1910.0920.0240.0670.0250.3560.0540.2160.0000.1600.1220.1080.0820.0480.095
Debtor0.0680.1400.1350.0840.0000.1670.0300.0490.0660.1200.0210.2020.0290.0820.0490.1600.0870.0001.0000.0910.0000.0950.0000.0960.0490.0590.0650.0320.0930.0350.0730.1490.0720.0620.2660.4330.091
Displaced0.1390.4020.4050.3920.1950.1530.1180.1570.1000.0910.0330.1290.1350.1400.0710.0830.0280.2420.0911.0000.0000.0870.0840.1270.1260.0500.0000.2790.0740.1070.0000.1840.1040.0840.1240.1030.125
Educational special needs0.0000.0000.0000.0000.0240.0000.0000.0320.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0001.0000.0520.0000.0620.0000.0430.0000.0000.0480.0050.0000.0000.0000.0230.0000.0000.058
Father's occupation-0.0280.033-0.015-0.0240.0050.004-0.033-0.010-0.040-0.004-0.0300.018-0.030-0.009-0.0270.014-0.0540.0530.0950.0870.0521.0000.2390.0440.0360.0600.0160.0470.4870.1700.0250.005-0.0300.0650.1120.0460.009
Father's qualification-0.0290.0920.053-0.0540.0280.007-0.0030.0150.040-0.011-0.0030.0140.0030.0070.005-0.013-0.0050.1910.0000.0840.0000.2391.000-0.0490.0770.0440.0630.1180.2530.446-0.0720.019-0.0190.1470.1360.041-0.042
GDP-0.036-0.063-0.0240.036-0.0080.0380.004-0.009-0.1110.085-0.1720.0320.007-0.005-0.0160.105-0.1130.0920.0960.1270.0620.044-0.0491.0000.067-0.1070.011-0.0740.023-0.0800.0310.026-0.0760.1490.0590.078-0.298
Gender0.0430.1950.2030.1230.1200.2640.0260.2180.0910.2100.0000.2750.0410.1650.1190.2220.0430.0240.0490.1260.0000.0360.0770.0671.0000.0600.0260.0560.0300.0570.0210.1270.0420.1870.2510.1200.062
Inflation rate-0.0210.022-0.032-0.0060.0390.0010.0090.036-0.028-0.021-0.058-0.0160.0090.022-0.020-0.042-0.0290.0670.0590.0500.0430.0600.044-0.1070.0601.0000.0000.0040.0480.040-0.002-0.0410.0210.1130.0490.096-0.056
International0.1300.0000.0670.0140.0260.0000.0000.0220.0620.0000.0620.0240.0000.0520.0300.0000.0000.0250.0650.0000.0000.0160.0630.0110.0260.0001.0000.0000.0000.0760.9190.0000.0890.0080.0000.0500.024
Marital status-0.0020.4880.284-0.1810.011-0.0740.102-0.0040.061-0.0990.049-0.0810.099-0.0260.013-0.0970.0590.3560.0320.2790.0000.0470.118-0.0740.0560.0040.0001.0000.1080.186-0.0290.198-0.0400.1170.1150.104-0.039
Mother's occupation-0.0280.0890.022-0.0360.0180.001-0.0190.005-0.018-0.024-0.0160.019-0.0250.005-0.0160.0040.0030.0540.0930.0740.0480.4870.2530.0230.0300.0480.0000.1081.0000.3480.017-0.014-0.0350.0670.1300.0980.021
Mother's qualification-0.0440.1710.070-0.0480.036-0.024-0.0020.0210.044-0.0530.000-0.018-0.0000.0060.021-0.0450.0310.2160.0350.1070.0050.1700.446-0.0800.0570.0400.0760.1860.3481.000-0.0170.015-0.0480.1220.1540.053-0.093
Nacionality0.0180.015-0.002-0.0180.007-0.0020.024-0.003-0.0080.000-0.010-0.0160.022-0.011-0.027-0.002-0.0240.0000.0730.0000.0000.025-0.0720.0310.021-0.0020.919-0.0290.017-0.0171.000-0.0400.0530.0170.0290.059-0.007
Previous qualification0.1160.4080.419-0.260-0.142-0.0590.3180.0580.114-0.0620.044-0.0670.3100.0420.060-0.0630.0610.1600.1490.1840.0000.0050.0190.0260.127-0.0410.0000.198-0.0140.015-0.0401.0000.0440.0850.1520.1240.071
Previous qualification (grade)0.582-0.170-0.062-0.053-0.0480.099-0.0050.035-0.0660.202-0.0090.089-0.0140.037-0.0580.172-0.0240.1220.0720.1040.000-0.030-0.019-0.0760.0420.0210.089-0.040-0.035-0.0480.0530.0441.0000.0660.1340.1050.047
Scholarship holder0.0950.2400.2370.0840.0260.2900.0890.1640.1970.2090.0520.2890.0770.1150.1790.2270.0320.1080.0620.0840.0230.0650.1470.1490.1870.1130.0080.1170.0670.1220.0170.0850.0661.0000.3120.1680.151
Target0.1570.3330.3180.1130.0370.6490.0580.2430.3420.5420.0910.7360.0560.2040.3570.6400.1010.0820.2660.1240.0000.1120.1360.0590.2510.0490.0000.1150.1300.1540.0290.1520.1340.3121.0000.4410.071
Tuition fees up to date0.0880.2320.2150.0810.0000.3270.0000.1190.1270.2770.0930.3640.0140.1440.1280.3270.0900.0480.4330.1030.0000.0460.0410.0780.1200.0960.0500.1040.0980.0530.0590.1240.1050.1680.4411.0000.095
Unemployment rate0.0240.0110.073-0.104-0.0410.0620.0240.1010.0750.037-0.0670.0640.0140.1350.0760.035-0.0300.0950.0910.1250.0580.009-0.042-0.2980.062-0.0560.024-0.0390.021-0.093-0.0070.0710.0470.1510.0710.0951.000

Missing values

2026-01-08T18:46:26.911033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2026-01-08T18:46:28.040308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Marital statusApplication modeApplication orderCourseDaytime/evening attendancePrevious qualificationPrevious qualification (grade)NacionalityMother's qualificationFather's qualificationMother's occupationFather's occupationAdmission gradeDisplacedEducational special needsDebtorTuition fees up to dateGenderScholarship holderAge at enrollmentInternationalCurricular units 1st sem (credited)Curricular units 1st sem (enrolled)Curricular units 1st sem (evaluations)Curricular units 1st sem (approved)Curricular units 1st sem (grade)Curricular units 1st sem (without evaluations)Curricular units 2nd sem (credited)Curricular units 2nd sem (enrolled)Curricular units 2nd sem (evaluations)Curricular units 2nd sem (approved)Curricular units 2nd sem (grade)Curricular units 2nd sem (without evaluations)Unemployment rateInflation rateGDPTarget
0117517111122.01191259127.310011020000000.000000000000.000000010.81.41.740
11151925411160.011333142.5100010190066614.0000000066613.666667013.9-0.30.791
2115907011122.01373799124.810001019006000.000000006000.000000010.81.41.740
31172977311122.01383753119.6100100200068613.42857100610512.40000009.4-0.8-3.121
42391801401100.01373899141.5000100450069512.3333330066613.000000013.9-0.30.791
523919991019133.11373797114.80011105000510511.85714300517511.500000516.20.3-0.921
6111950011142.011938710128.4100101180079713.3000000088814.345000015.52.8-4.061
71184925411119.01373799113.110001022005500.000000005500.000000015.52.8-4.060
8113923811137.0621199129.3000101211068613.8750000067614.142857016.20.3-0.921
9111923811138.0111947123.0101000180069511.40000000614213.50000008.91.43.510
Marital statusApplication modeApplication orderCourseDaytime/evening attendancePrevious qualificationPrevious qualification (grade)NacionalityMother's qualificationFather's qualificationMother's occupationFather's occupationAdmission gradeDisplacedEducational special needsDebtorTuition fees up to dateGenderScholarship holderAge at enrollmentInternationalCurricular units 1st sem (credited)Curricular units 1st sem (enrolled)Curricular units 1st sem (evaluations)Curricular units 1st sem (approved)Curricular units 1st sem (grade)Curricular units 1st sem (without evaluations)Curricular units 2nd sem (credited)Curricular units 2nd sem (enrolled)Curricular units 2nd sem (evaluations)Curricular units 2nd sem (approved)Curricular units 2nd sem (grade)Curricular units 2nd sem (without evaluations)Unemployment rateInflation rateGDPTarget
3620111913011137.0133835129.3100100180056511.8000001058511.60000009.4-0.8-3.121
362143919500119133.11373766117.80010004600714312.33333300712311.083333011.10.62.020
36221432950011136.01383895131.30001002301114151212.62500011114151212.62500017.62.60.321
3623111907011132.011199133.8100101200066613.8333330066613.500000016.20.3-0.921
362414419070139120.0133839120.0000110200277612.50000005910713.142857116.20.3-0.921
3625116977311125.011154122.2000110190067513.6000000068512.666667015.52.8-4.061
3626112977311120.01051199119.0101000181066612.0000000066211.000000011.10.62.020
3627111950011154.01373799149.5100101300078714.9125000089113.500000013.9-0.30.790
3628111914711180.01373774153.8100101200055513.8000000056512.00000009.4-0.8-3.121
36291101977311152.022383759152.0100100221068611.6666670066613.000000012.73.7-1.701